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stereo calibration

asked 2012-10-05 17:37:57 -0600

small_potato gravatar image

I have been using Matlab Calibration Toolbox to calibrate my stereo camera. The result is not satisfying. I extract salient features from both images and verify the calibration result based on rectification result. After rectification, the features in the same pair are misaligned by roughly 10 pixels in y axis. I would expect the rectification error in y axis to be around 1 pixel.

Following the Opencv calibration example, for some images, the software fails to detect all the corner. Can someone comment on this? Also I have attached sample left and right images taken for calibration.

C:\fakepath\left0.jpg C:\fakepath\right0.jpg

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answered 2012-10-05 20:07:05 -0600

Hi there!

After watching the images here are my comments:

  • I see that you posted JPG files, I don't know if those are the original files you used, but whenever possible use raw images (not compressed, as compression generates artifacts that affect the ability of detecting the corners of the chessboard)
  • The size of the squares might be too small in relation to the resolution of your camera. How about using bigger squares?
  • This is not related to corner detection, but I see that you are using a 16x16 chessboard. I would recommend you to use a non-square chessboard (16x15, for example), this way the orientation of the chessboard can be uniquely determined. Otherwise you can get strange effects on the calibration.

I hope this helps

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Thanks for the reply. It seems increasing the square size does help. Can you comment on how the square size is related to calibration accuracy?

small_potato gravatar imagesmall_potato ( 2012-10-11 19:12:20 -0600 )edit

answered 2019-06-10 20:43:55 -0600

When the other parameters are correct and the corners are not found, you have to improve the lighting

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Asked: 2012-10-05 17:37:57 -0600

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Last updated: Oct 05 '12